Renowned applied mathematician Gilbert Strang teaches applied mathematics with the clear explanations, examples and insights of an experienced teacher. This book progresses steadily through a range of topics from symmetric linear systems to differential equations to least squares and Kalman filtering and optimization. It clearly demonstrates the power of matrix algebra in engineering problem solving. This is an ideal book (beloved by many readers) for a first course on applied mathematics and a reference for more advanced applied mathematicians. The only prerequisite is a basic course in linear algebra.
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Book Description
Renowned applied mathematician Gilbert Strang explains the theory and applications of applied mathematics with the clear style, examples and insights of an experienced teacher. This is an ideal book for students studying a first course on applied mathematics or as a reference for more advanced applied mathematicians.
About the Author
Gilbert Strang received his Ph.D. from UCLA and since then he has taught at MIT. He has been a Sloan Fellow and a Fairchild Scholar and is a Fellow of the American Academy of Arts and Sciences. He is a Professor of Mathematics at MIT and an Honorary Fellow of Balliol College. Professor Strang has published eight textbooks. He received the von Neumann Medal of the US Association for Computational Mechanics, and the Henrici Prize for applied analysis. The first Su Buchin Prize from the International Congress of Industrial and Applied Mathematics, and the Haimo Prize from the Mathematical Association of America, were awarded for his contributions to teaching around the world.
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Most Helpful Customer Reviews
4 of 4 people found the following review helpful
Format:Hardcover
Gilbert Strang published another great book. Very unorthodox view of applied math, interesting organization of the book (centrality of notion of seeking equilibrium), written in his usual style: concise, clear, with lots of examples and exercises. Excellent book for anyone with basic fundamentals in linear algebra.
1 of 1 people found the following review helpful
By K. A. Murray
Format:Hardcover|Amazon Verified Purchase
I bought this book to review some of the maths that I learnt on my Electrical Engineering under-graduate course. This book is well worth having particularly if it is used with the free videos available from MIT where Dr Strang lectures. This book is certainly undergraduate level and for someone like me requires re-reading many times. The book covers a great deal of modern mathematics - complex variables, finite element method, eigenvalues and eigenfunctions to name but a few. What saves it for me as a non-mathematically biased reader is the enthusiasm that comes through. This book has a lot of information which in the hands of others could be overwhelming, but Dr Stang's joy in the subject starts to make the reader think mathematically. I would recommend it to any engineer.
Most Helpful Customer Reviews on Amazon.com (beta)
Amazon.com:
4.2 out of 5 stars
10 reviews
86 of 88 people found the following review helpful
5.0 out of 5 stars
The best general "applied math" book in existence
28 Feb 1999
By Jay Ponder (ponder@dasher.wustl.edu)
- Published on Amazon.com
Format:Hardcover
I've never written a review before, and probably never will again. But I had to do something to help publicize this fantastic book. I would give it 6 stars if I could....
In short, Strang's book is an elegant masterpiece. As a former college math major and current University science professor who uses computation daily in research, this is the best general "applied math" book I've ever seen. I highly recommend it to every graduate student and postdoc who passes through my lab. It is not a textbook in the usual sense, and is thus very different from Strang's much more widely known linear algebra texts. The level of the book is very mixed; parts are very elementary, and other sections really require advanced graduate background to fully comprehend. The book is "modern" in every sense, full of opinions and marvelous insights, and even very witty in places. As one example, the book completely skips the series solutions to the diffusion equation (about which most "applied math" books drone on for far too many pages) and cuts right to the Gaussian kernel solution. The discussion of Fourier analysis is fresh and excellent. The grouping of many ideas under the umbrella of "approach to equilibrium" and "minimum principles" is a superior organization. There are many other modernisms like these.... too many to count. Just from reading the preface, you can tell that this book was a labor of love for Strang, and it needs to be taken as such. Do not buy this book to cram for an exam -- buy it, and refer back to it often, to really learn modern applied math.
26 of 26 people found the following review helpful
5.0 out of 5 stars
If all math texts were this good, I'd have a PhD by now!
5 Aug 2002
By Martin Gomez
- Published on Amazon.com
Format:Hardcover
I am very impressed with how useful this book is. It is written mostly in words, not in equations. Most math texts appear to be written so as to show how smart the writer is...making the reader smarter appears to be secondary. This one assumes you know very little, and teaches you a piece at a time, skipping no steps. The examples are very illuminating.
An excellent math methods book for engineers and physicists.
29 of 31 people found the following review helpful
5.0 out of 5 stars
putting it all together
12 Nov 1998
By A Customer
- Published on Amazon.com
Format:Hardcover
This book links all the engineering formulas and methods you may have seen in basic mechanical or electrical engineering via a simple four node diagram pictured on the cover. It shows that common threads that all continuous and discrete problems share and how they translate into each other. It clearly demonstrates the power of matrix algebra in engineering problem solving.(a point not emphasized enough in linear algebra texts)
chapters 1. symmetric linear systems 2. equilibrium equations 3. equilibrium in the continuous case 4. analytical methods 5. numerical methods 6. initial-value problems 7. network flows and combinatorics 8. optimization
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4.2 out of 5 stars
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